The flow fields in the power generation channel of a magnetohydrodynamic system, which uses a mixture of liquid metal as the power generation medium and a low-boiling-point working medium as the carrying medium, were numerically investigated in the present paper. The influences of the magnetic field intensity, void fraction, and bubble diameter were examined, respectively. The results indicate that an increase in the magnetic field intensity will enhance the turbulence intensity and may reduce the stability of the flow fields, whereas increasing the void fraction will contribute to better flow stability in the power generation channel. The effect of the bubble diameter on the flow field stability is negligible in the range of the study. In addition, it is found that the volume fraction of the gas phase exhibits an M-shape distribution by studying the variation of the slip velocity over time. This paper presents our latest findings and will provide a fundamental theory for future design and operation of liquid metal magnetohydrodynamic systems.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726961PMC
http://dx.doi.org/10.1021/acsomega.0c04379DOI Listing

Publication Analysis

Top Keywords

power generation
16
flow fields
12
generation channel
12
liquid metal
12
fields power
8
metal magnetohydrodynamic
8
magnetohydrodynamic system
8
magnetic field
8
field intensity
8
void fraction
8

Similar Publications

Background: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus complicating the prediction of clinical outcomes for different severe acute respiratory syndrome coronavirus (SARS-CoV-2) variants.

View Article and Find Full Text PDF

Cancer-specific utility instrument for health economic evaluations: A synopsis of the EORTC QLU-C10D user manual and current validity evidence.

Eur J Cancer

January 2025

Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria. Electronic address:

The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility - Core 10 Dimensions (QLU-C10D) adds a preference-based scoring algorithm to the EORTC measurement portfolio. It is built on the most widely used health-related quality of life (HRQoL) measure in oncology, the EORTC Quality of Life Questionnaire - Core 30 (QLQ-C30), allowing for the calculation of both HRQoL profiles and health utilities. This is an important advancement for integrating cancer-specific values into health economic evaluations and decision making, offering greater content validity and statistical power than some generic measures.

View Article and Find Full Text PDF

Metagenomic insights into efficiency and mechanism of antibiotic resistome reduction by electronic mediators-enhanced microbial electrochemical system.

J Hazard Mater

January 2025

Engineering Research Center of Groundwater Pollution Control and Remediation (Ministry of Education), College of Water Sciences, Beijing Normal University, No 19, Xinjiekouwai Street, Beijing 100875, China. Electronic address:

Electronic mediators are an effective means of enhancing the efficiency of microbial electrochemical electron transfer; however, there are still gaps in understanding the strengthening mechanisms and the efficiency of removing antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARB). This study systematically elucidates the effects of various electron mediators on bioelectrochemical processes, electron transfer efficiency, and the underlying mechanisms that inhibit ARG propagation within sediment microbial fuel cell systems (SMFCs). The results indicate that the addition of electron mediators significantly increased the output voltage (33.

View Article and Find Full Text PDF

Arc detection is crucial for ensuring the safe operation of power systems, where timely and accurate detection of arcs can prevent potential hazards such as fires, equipment damage, or system failures. Traditional arc detection methods, while functional, often suffer from low detection accuracy and high computational complexity, especially in complex operational environments. This limitation is particularly problematic in real-time monitoring and the efficient operation of power systems.

View Article and Find Full Text PDF

This paper details the hardware implementation of a Universal Converter controlled by an Artificial Neural Network (ANN), utilizing key components such as six Insulated Gate Bipolar Transistors (IGBTs), two inductors, and two capacitors for energy storage and voltage smoothing. A Digital Signal Processor (DSP) serves as the core controller, processing real-time input and feedback signals, including voltage and current measurements, to dynamically manage five operational modes: rectifier buck, inverter boost, DC-DC buck, DC-DC boost, and AC voltage control. The pre-trained ANN algorithm generates pulse-width modulation (PWM) signals to control the switching of the IGBTs, optimizing timing and duty cycles for efficient operation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!